Backend Software Engineer (Golang) | Distributed Systems

About the role

We are seeking a Backend Software Engineer to build, evolve, and migrate distributed backend services supporting cloud and access-control platforms. This profile is more software-engineering focused, but candidates should be comfortable working in cloud-native production environments.

Location: Denver, CO - Hybrid Role

Responsibilities

• Design, implement, test, and maintain production backend services and microservices in Golang.
• Contribute to service migration and consolidation efforts across the cloud and related access-control platforms.
• Build and evolve APIs using technologies such as gRPC, REST, and JSON-based interfaces.
• Work with distributed-system patterns including service dependencies, retries, timeouts, concurrency, state, and failure recovery.
• Integrate and operate backend services with managed or self-hosted data platforms such as PostgreSQL-compatible databases, CockroachDB, MongoDB, Cassandra, Redis, or comparable technologies.
• Containerize services and deploy them into Kubernetes-based production environments.
• Collaborate with platform and infrastructure engineers on cloud deployment, configuration, data migration, observability, and production readiness.
• Improve service performance, scalability, availability, and fault tolerance.
• Develop automated tests and participate in code review, CI/CD, release, and production validation processes.
• Use metrics, dashboards, and logs to troubleshoot service behavior and production incidents.
• Make architectural and implementation changes needed to support new cloud environments or platform integrations.
• Work independently while communicating technical tradeoffs and risks clearly to engineering partners.

Requirements

• Strong current backend software engineering experience in Go or Java.
• Experience designing and maintaining production APIs and distributed services.
• Strong understanding of data structures, concurrency, error handling, testing, and maintainable software design.
• Experience with gRPC, REST, JSON APIs, or similar service communication patterns.
• Experience with relational or distributed data stores such as PostgreSQL, CockroachDB, MongoDB, Cassandra, Redis, or similar technologies.
• Experience with Docker and Kubernetes in a development or production environment.
• Experience with Git-based development, code review, CI/CD, and production release workflows.
• Understanding of observability using metrics and logs, including tools such as Prometheus, Grafana, Splunk, or equivalents.
• Experience troubleshooting production systems across service, runtime, data, and infrastructure boundaries.
• Ability to operate independently, learn unfamiliar systems, and contribute to architecture as well as implementation.

Preferred Qualifications

• Five or more years of recent Go experience for Go-aligned teams.
• Strong Java experience for cloud service work.
• Experience with OAuth2, OIDC, identity, authorization, or access-control systems.
• Experience with high-throughput or low-latency distributed systems.
• Experience with cloud migration or adapting an existing service to a new public cloud environment.
• Experience with Kafka, NATS, Redis, or other messaging and caching technologies.
• Experience with managed cloud databases and data migration.
• Experience with Kubernetes operational troubleshooting in addition to application deployment.
• Experience designing major architectural changes without service interruption.

Skills

• Golang, Go, Java, backend software engineering, distributed systems, microservices, cloud-native services, API design, gRPC, REST, JSON APIs, data structures, concurrency, error handling, automated testing, maintainable software design, service dependencies, retries, timeouts, state management, failure recovery, PostgreSQL, CockroachDB, MongoDB, Cassandra, Redis, Kafka, NATS, relational databases, distributed databases, managed cloud databases, messaging, caching, Docker, Kubernetes, cloud deployment, public cloud migration, service migration, data migration, platform integration, OAuth2, OIDC, identity, authorization, access control, high-throughput systems, low-latency systems, performance optimization, scalability, high availability, fault tolerance, observability, Prometheus, Grafana, Splunk, metrics, dashboards, logging, production troubleshooting, incident response, Git, code review, CI/CD, release management, production validation, Kubernetes operations, software architecture, zero-downtime architecture, technical risk communication, cross-functional collaboration

Pay

$60 - $70 per hour